George Forman

Artificial Intelligence · 2003–2010

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom George Forman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Eui-Hong Sam Han
  2. Foster J. Provost
  3. Peter D. Turney
  4. Andrew McCallum
  5. Ron Kohavi
  6. Gary M. Weiss
  7. George Karypis
  8. Qiaozhu Mei
  9. Thorsten Joachims
  10. Jason Van Hulse

Who trusts George Forman overall

  1. Verónica Bolón-Canedo
  2. Efstathios Stamatatos
  3. Harikrishna Narasimhan
  4. Vipin Kumar
  5. Hal Daumé Iii
  6. Girish Chandrashekar
  7. Michael Wasikowski
  8. Tommaso Fornaciari
  9. Christoph Treude
  10. Constantinos Boulis

Papers from George Forman's perspective

Ordered by how strongly the researchers George Forman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers